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docker python kubernetes pytorch llms📋 Description
- Design and train scalable AI/ML models for engineers
- Create agentic AI systems and multi-agent workflows
- Build large-scale ML training pipelines for AI apps
- Develop and fine-tune foundation models (LLMs, vision, multimodal)
- Tools for data analysis, anomaly detection, and predictive modeling
- Collaborate on AI architecture, modeling strategies, reviews
🎯 Requirements
- BS in CS, data science, engineering, math, or physics OR 4+ years AI/ML exp
- 5+ years AI software engineering focusing on model training/fine-tuning
- 5+ years Python programming
- LLM transformer architectures: pre-training, supervised fine-tuning, RL
- Training/fine-tuning LLMs at scale
- PyTorch, TensorFlow, or JAX
🎁 Benefits
- Stock options and long-term incentives
- Medical, vision, and dental coverage
- 401(k) retirement plan
- Paid vacation, holidays, and sick leave
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